feat: add MiniMax as first-class LLM provider#112
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octo-patch wants to merge 1 commit into79E:masterfrom
Open
feat: add MiniMax as first-class LLM provider#112octo-patch wants to merge 1 commit into79E:masterfrom
octo-patch wants to merge 1 commit into79E:masterfrom
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Add MiniMax (M2.7 + M2.7-highspeed) as a supported LLM provider alongside OpenAI, with automatic temperature clamping (0-1), penalty parameter removal, GPTTokens fallback for billing, premium model classification, key validation, and frontend model presets. Changes: - server/utils/modelUtils.ts: Model classification, temp clamping, option sanitization - server/helpers/chat/index.ts: Apply clampOptions before API calls - server/routers/apis/chat.ts: GPTTokens fallback, premium billing/VIP routing - server/helpers/keyUsage/index.ts: MiniMax key validation endpoint - src/store/config/slice.ts: MiniMax models in frontend defaults - src/components/ConfigModal/index.tsx: Generic model selector label - README.md: MiniMax configuration guide and model documentation - vitest.config.ts + tests/: 31 unit + integration tests Co-Authored-By: octopus <octopus@github.com>
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Summary
Add MiniMax as a first-class LLM provider alongside OpenAI. MiniMax offers OpenAI-compatible API endpoints with models featuring up to 1M token context windows.
Changes
server/utils/modelUtils.ts): Model classification, temperature clamping (0-1), penalty parameter removal, GPTTokens fallbackserver/helpers/chat/index.ts): Automatic option clamping before API callsserver/routers/apis/chat.ts): Safe token counting, premium billing routing, VIP access gatingserver/helpers/keyUsage/index.ts): MiniMax API key health checksrc/store/config/slice.ts): MiniMax-M2.7 and M2.7-highspeed in dropdownsrc/components/ConfigModal/index.tsx): Generic model selector labelMiniMax Admin Configuration
https://api.minimax.ioMiniMax-M2.7,MiniMax-M2.7-highspeedminimax-chatTest plan